1 / 171

Writing basic SQL statements Restricting and Sorting Data Single-Row Functions

Learn to write basic SQL statements, restrict and sort data, use single-row and multiple-row functions, and manipulate data with SQL scripts. Understand the capabilities of SQL SELECT statements and differentiate between SQL statements and SQL*Plus commands.

claytonc
Download Presentation

Writing basic SQL statements Restricting and Sorting Data Single-Row Functions

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. CH3 Part1 • Writing basic SQL statements • Restricting and Sorting Data • Single-Row Functions • Multiple-Row Functions (Group functions) • Manipulating Data (DML) (Insert, Update and Delete)

  2. Writing Basic SQL Statements

  3. SQL Scripts • Script: text file that contains a sequence of SQL commands • Usually have .sql extension • To run from SQL*Plus: • Start full file path SQL> START path_to_script_file; • @ full file path (SQL> @ path_to_script_file;) • Extension can be omitted if it is .sql • Path cannot contain any blank spaces

  4. Objectives • After completing this lesson, you should be able to do the following: • List the capabilities of SQL SELECT statements • Execute a basic SELECT statement • Differentiate between SQL statements and SQL*Plus commands

  5. Capabilities of SQL SELECT Statements Projection Selection Table 1 Table 1 Join Table 2 Table 1

  6. Basic SELECT Statement • SELECT identifies what columns. • FROM identifies which table. SELECT [DISTINCT] {*, column [alias],...} FROM table;

  7. Writing SQL Statements • SQL statements are not case sensitive. • SQL statements can be on one ormore lines. • Keywords cannot be abbreviated or split across lines. • Clauses are usually placed on separate lines. • Tabs and indents are used to enhance readability.

  8. Selecting All Columns SQL> SELECT * 2 FROM dept; DEPTNO DNAME LOC --------- -------------- ------------- 10 ACCOUNTING NEW YORK 20 RESEARCH DALLAS 30 SALES CHICAGO 40 OPERATIONS BOSTON

  9. Selecting Specific Columns SQL> SELECT deptno, loc 2 FROM dept; DEPTNO LOC --------- ------------- 10 NEW YORK 20 DALLAS 30 CHICAGO 40 BOSTON

  10. Column Heading Defaults • Default justification • Left: Date and character data • Right: Numeric data • Default display: Uppercase

  11. Arithmetic Expressions • Create expressions on NUMBER and DATE data by using arithmetic operators. Operator + - * / Description Add Subtract Multiply Divide

  12. Using Arithmetic Operators SQL> SELECT ename, sal, sal+300 2 FROM emp; ENAME SAL SAL+300 ---------- --------- --------- KING 5000 5300 BLAKE 2850 3150 CLARK 2450 2750 JONES 2975 3275 MARTIN 1250 1550 ALLEN 1600 1900 ... 14 rows selected.

  13. _ / + * Operator Precedence • Multiplication and division take priority over addition and subtraction. • Operators of the same priority are evaluated from left to right. • Parentheses are used to force prioritized evaluation and to clarify statements.

  14. Operator Precedence SQL> SELECT ename, sal, 12*sal+100 2 FROM emp; ENAME SAL 12*SAL+100 ---------- --------- ---------- KING 5000 60100 BLAKE 2850 34300 CLARK 2450 29500 JONES 2975 35800 MARTIN 1250 15100 ALLEN 1600 19300 ... 14 rows selected.

  15. Using Parentheses SQL> SELECT ename, sal, 12*(sal+100) 2 FROM emp; ENAME SAL 12*(SAL+100) ---------- --------- ----------- KING 5000 61200 BLAKE 2850 35400 CLARK 2450 30600 JONES 2975 36900 MARTIN 1250 16200 ... 14 rows selected.

  16. Defining a Null Value • A null is a value that is unavailable, unassigned, unknown, or inapplicable. • A null is not the same as zero or a blank space. SQL> SELECT ename, job, sal, comm 2 FROM emp; ENAME JOB SAL COMM ---------- --------- --------- --------- KING PRESIDENT 5000 BLAKE MANAGER 2850 ... TURNER SALESMAN 1500 0 ... 14 rows selected.

  17. Null Values in Arithmetic Expressions • Arithmetic expressions containing a null value evaluate to null. SQL> select ename, 12*sal+comm 2 from emp 3 WHERE ename='KING'; ENAME 12*SAL+COMM ---------- ----------- KING

  18. Defining a Column Alias • Renames a column heading • Is useful with calculations • Immediately follows column name; optional AS keyword between column name and alias • Requires double quotation marks if it contains spaces or special characters or is case sensitive

  19. Name Annual Salary ------------- -------------... Using Column Aliases SQL> SELECT ename AS name, sal salary 2 FROM emp; NAME SALARY ------------- ---------... SQL> SELECT ename "Name", 2 sal*12 "Annual Salary" 3 FROM emp;

  20. Concatenation Operator • Concatenates columns or character strings to other columns • Is represented by two vertical bars (||) • Creates a resultant column that is a character expression

  21. Using the Concatenation Operator SQL> SELECT ename||job AS "Employees" 2 FROM emp; Employees ------------------- KINGPRESIDENT BLAKEMANAGER CLARKMANAGER JONESMANAGER MARTINSALESMAN ALLENSALESMAN ... 14 rows selected.

  22. Literal Character Strings • A literal is a character, a number, or a date included in the SELECT list. • Date and character literal values must be enclosed within single quotation marks. • Each character string is output once for each row returned.

  23. Using Literal Character Strings SQL> SELECT ename ||' is a '||job 2 AS "Employee Details" 3 FROM emp; Employee Details ------------------------- KING is a PRESIDENT BLAKE is a MANAGER CLARK is a MANAGER JONES is a MANAGER MARTIN is a SALESMAN ... 14 rows selected.

  24. Duplicate Rows • The default display of queries is all rows, including duplicate rows. SQL> SELECT deptno 2 FROM emp; DEPTNO --------- 10 30 10 20 ... 14 rows selected.

  25. Eliminating Duplicate Rows Eliminate duplicate rows by using the DISTINCT keyword in the SELECT clause. SQL> SELECT DISTINCT deptno 2 FROM emp; DEPTNO --------- 10 20 30

  26. SQL Statements SQL Statements Server Query Results SQL*Plus Commands Formatted Report SQL and SQL*Plus Interaction Buffer SQL*Plus

  27. SQL Statements Versus SQL*Plus Commands • SQL • A language • ANSI standard • Keyword cannot be abbreviated • Statements manipulate data and table definitions in the database • SQL*Plus • An environment • Oracle proprietary • Keywords can be abbreviated • Commands do not allow manipulation of values in the database SQL statements SQL buffer SQL*Plus commands SQL*Plus buffer

  28. Overview of SQL*Plus • Log in to SQL*Plus. • Describe the table structure. • Edit your SQL statement. • Execute SQL from SQL*Plus. • Save SQL statements to files and append SQL statements to files. • Execute saved files. • Load commands from file to bufferto edit.

  29. Logging In to SQL*Plus • From Windows environment: • From command line: sqlplus [username[/password [@database]]]

  30. Displaying Table Structure • Use the SQL*Plus DESCRIBE command to display the structure of a table. DESC[RIBE] tablename

  31. Displaying Table Structure SQL> DESCRIBE dept Name Null? Type ----------------- -------- ------------ DEPTNO NOT NULL NUMBER(2) DNAME VARCHAR2(14) LOC VARCHAR2(13)

  32. SQL*Plus Editing Commands • A[PPEND] text • C[HANGE] / old / new • C[HANGE] / text / • CL[EAR] BUFF[ER] • DEL • DEL n • DEL m n

  33. SQL*Plus Editing Commands • I[NPUT] • I[NPUT] text • L[IST] • L[IST] n • L[IST] m n • R[UN] • n • ntext • 0 text

  34. SQL*Plus File Commands • SAVE filename • GET filename • START filename • @ filename • EDIT filename • SPOOL filename • EXIT

  35. Summary • Use SQL*Plus as an environment to: • Execute SQL statements • Edit SQL statements SELECT [DISTINCT] {*,column [alias],...} FROM table;

  36. Restricting and Sorting Data

  37. Objectives • After completing this lesson, you should be able to do the following: • Limit the rows retrieved by a query • Sort the rows retrieved by a query

  38. EMP EMPNO ENAME JOB ... DEPTNO 7839 KING PRESIDENT 10 7698 BLAKE MANAGER 30 7782 CLARK MANAGER 10 7566 JONES MANAGER 20 ... "…retrieve allemployeesin department 10" EMP EMPNO ENAME JOB ... DEPTNO 7839 KING PRESIDENT 10 7782 CLARK MANAGER 10 7934 MILLER CLERK 10 Limiting Rows Using a Selection

  39. Limiting Rows Selected • Restrict the rows returned by using the WHERE clause. • The WHERE clause follows the FROM clause. SELECT [DISTINCT] {*| column [alias], ...} FROM table [WHERE condition(s)];

  40. Using the WHERE Clause SQL> SELECT ename, job, deptno 2 FROM emp 3 WHERE job='CLERK'; ENAME JOB DEPTNO ---------- --------- --------- JAMES CLERK 30 SMITH CLERK 20 ADAMS CLERK 20 MILLER CLERK 10

  41. Character Strings and Dates • Character strings and date values are enclosed in single quotation marks. • Character values are case sensitive and date values are format sensitive. • The default date format is DD-MON-YY. SQL> SELECT ename, job, deptno 2 FROM emp 3 WHERE ename = ; 'JAMES'

  42. Comparison Operators Operator = > >= < <= <>,!=, ^= Meaning Equal to Greater than Greater than or equal to Less than Less than or equal to Not equal to

  43. Using the Comparison Operators SQL> SELECT ename, sal, comm 2 FROM emp 3 WHERE sal<=comm; ENAME SAL COMM ---------- --------- --------- MARTIN 1250 1400

  44. Other Comparison Operators Operator BETWEEN...AND... IN(list) LIKE IS NULL Meaning Between two values (inclusive) Match any of a list of values Match a character pattern Is a null value

  45. Lowerlimit Higherlimit Using the BETWEEN Operator • Use the BETWEEN operator to display rows based on a range of values. SQL> SELECT ename, sal 2 FROM emp 3 WHERE sal BETWEEN 1000 AND 1500; ENAME SAL ---------- --------- MARTIN 1250 TURNER 1500 WARD 1250 ADAMS 1100 MILLER 1300

  46. Using the IN Operator • Use the IN operator to test for values in a list. SQL> SELECT empno, ename, sal, mgr 2 FROM emp 3 WHERE mgr IN (7902, 7566, 7788); EMPNO ENAME SAL MGR --------- ---------- --------- --------- 7902 FORD 3000 7566 7369 SMITH 800 7902 7788 SCOTT 3000 7566 7876 ADAMS 1100 7788

  47. Using the LIKE Operator • Use the LIKE operator to perform wildcard searches of valid search string values. • Search conditions can contain either literal characters or numbers. • % denotes zero or many characters. • _ denotes one character. SQL> SELECT ename 2 FROM emp 3 WHERE ename LIKE 'S%';

  48. Using the LIKE Operator • You can combine pattern-matching characters. • You can use the ESCAPE identifier to search for "%" or "_". SQL> SELECT ename 2 FROM emp 3 WHERE ename LIKE '_A%'; ENAME ---------- MARTIN JAMES WARD

  49. Using the IS NULL Operator • Test for null values with the IS NULL operator. SQL> SELECT ename, mgr 2 FROM emp 3 WHERE mgr IS NULL; ENAME MGR ---------- --------- KING

More Related